Takayoshi Kirisako
- Molecular Biology top 2%
- Epidemiology top 0.5%
- Cell Biology top 0.5%
- Immunology top 5%
- Cancer Research top 2%
- Co-authors
- Takeshi NodaYoshinori OhsumiMariko OhsumiToshifumi TakaoNaotada IshiharaNoboru MizushimaYoshinobu IchimuraYoshinori Satomi
- Topics
- Endoplasmic Reticulum Stress and Disease (5 papers)Autophagy in Disease and Therapy (4 papers)Ubiquitin and proteasome pathways (4 papers)
- Cited by
- EpidemiologyCell BiologyPhysiology
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Takayoshi Kirisako
18 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Molecular Biology 2.8k
- Epidemiology 2.8k
- Cell Biology 1.3k
- Immunology 793
- Cancer Research 649
Countries citing papers authored by Takayoshi Kirisako
This map shows the geographic impact of Takayoshi Kirisako's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Takayoshi Kirisako with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takayoshi Kirisako more than expected).
Fields of papers citing papers by Takayoshi Kirisako
This network shows the impact of papers produced by Takayoshi Kirisako. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Takayoshi Kirisako. The network helps show where Takayoshi Kirisako may publish in the future.
Co-authorship network of co-authors of Takayoshi Kirisako
This figure shows the co-authorship network connecting the top 25 collaborators of Takayoshi Kirisako. A scholar is included among the top collaborators of Takayoshi Kirisako based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Takayoshi Kirisako. Takayoshi Kirisako is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 5 | |
| 3 | 4 | |
| 4 | 12 | |
| 5 | 6 | |
| 6 | 68 | |
| 7 | 71 | |
| 8 | 10 | |
| 9 | 18 | |
| 10 | Involvement of linear polyubiquitylation of NEMO in NF-κB activationbreakdown → | 742 |
| 11 | A ubiquitin ligase complex assembles linear polyubiquitin chainsbreakdown → | 604 |
| 12 | 131 | |
| 13 | 18 | |
| 14 | 5 | |
| 15 | 3 | |
| 16 | A ubiquitin-like system mediates protein lipidationbreakdown → | 1625 |
| 17 | The Reversible Modification Regulates the Membrane-Binding State of Apg8/Aut7 Essential for Autophagy and the Cytoplasm to Vacuole Targeting Pathwaybreakdown → | 755 |
| 18 | Formation Process of Autophagosome Is Traced with Apg8/Aut7p in Yeastbreakdown → | 723 |
About Takayoshi Kirisako
Takayoshi Kirisako is a scholar working on Biochemistry, Cell Biology and Cancer Research, having authored 18 papers that have together received 4.8k indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (5 papers), Autophagy in Disease and Therapy (4 papers) and Ubiquitin and proteasome pathways (4 papers). The work is most often cited by research in Epidemiology (2.8k citations), Cell Biology (1.3k citations) and Physiology (335 citations). Takayoshi Kirisako has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Takeshi Noda, Yoshinori Ohsumi, Mariko Ohsumi, Toshifumi Takao, Naotada Ishihara, Noboru Mizushima, Yoshinobu Ichimura, Yoshinori Satomi, Tamotsu Yoshimori and Kazuhiro Iwaï. Their work appears in journals such as Nature, The Journal of Cell Biology and The EMBO Journal.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.